CAJ | 학술논문

随着人工智能技术在教育评价领域中的应用，计算机自适应测试逐渐成为一种重要的教育评价方式。采用这种测试形式，计算机实时的对学习者的能力水平进行动态更新并从题库中为其选择量身定制的试题，这就要求系统具有比较高的执行效率，才能满足实际应用的需要。为了解决这个问题，提出了基于模拟退火算法来构建智能试题产生系统的方法。实验结果表明，该方法在保证从题库中为学习者选择接近最优试题的同时，也极大提高了系统的选题效率。
수착인공지능기술재교육평개영역중적응용，계산궤자괄응측시축점성위일충중요적교육평개방식。채용저충측시형식，계산궤실시적대학습자적능력수평진행동태경신병종제고중위기선택량신정제적시제，저취요구계통구유비교고적집행효솔，재능만족실제응용적수요。위료해결저개문제，제출료기우모의퇴화산법래구건지능시제산생계통적방법。실험결과표명，해방법재보증종제고중위학습자선택접근최우시제적동시，야겁대제고료계통적선제효솔。
With the application of artificial intelligence techniques in the field of educational evalua-tion, the computerized adaptive testing gradually becomes one of the most important educational evaluation methods.In such test, the computer can dynamically update the ability level of the learn-er and select tailored questions from the examination questions bank .It is required that the system has a relatively high efficiency of the implementation in order to meet the needs of the test .To solve this problem , the intelligent questions system based on simulated annealing algorithm is proposed . The experimental results show that while the method can ensure the selection of nearly optimal ques -tions from the examination questions bank for learners , it also greatly improve the efficiency of choo-sing questions from the system .